Cyber insurance startup Resilience, whose AI analyzes policyholders' systems to determine risk, raised a $100M Series D, taking its total funding to $225M+
Securing a Digital World Resilience : Resilience Raises $100MM Series D Round, Led by Intact Ventures with Participation from Lightspeed Venture Partners Insurance Journal : Investors Double-Down on Cyber Insurtech Resilience With $100M Series D Round The Insurer : Cyber insurtech Resilience raises $100mn in Intact-led Series D round
Context & Ripple Effects
Resilience’s new round follows its earlier $80M Series C for cyber insurance and ransomware-defense services, extending the company’s effort to pair coverage with tools that help policyholders manage cyber exposure.
The financing also sits alongside investment in cyber-risk data infrastructure: CyberCube’s $50M round underscored investor interest in analytics used by insurance underwriters. Resilience’s approach applies that underwriting logic directly to customers’ systems.
First-order effects
- Resilience gains $100M to expand an AI-led model for assessing prospective policyholders’ cyber risk, taking its disclosed funding above $225M.
- Intact Ventures and Lightspeed deepen their exposure to a cyber-insurance provider whose product combines risk selection with security-oriented customer services.
Second-order effects
- Cyber insurers and risk-analytics vendors face stronger pressure to show that their underwriting is informed by technical evidence from customers’ environments, rather than coverage terms alone.
- For buyers, the tighter link between security posture and insurability can make cyber insurance an additional channel for adopting defensive controls and risk-monitoring services.
Third-order effects
- If insurers continue funding and using technical risk assessment, cyber coverage may shift toward a more actively managed product, with underwriting and loss prevention increasingly intertwined.
- That model could concentrate advantage with insurers and analytics providers that can translate system-level signals into underwriting decisions; its durability depends on whether those signals improve risk selection over time.
The trend: Cyber insurance is evolving from stand-alone risk transfer toward technology-enabled underwriting that links coverage, customer security posture, and loss prevention.